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Thurmon Lockhart | OMICS International
ISSN: 2161-0460

Journal of Alzheimers Disease & Parkinsonism
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Thurmon Lockhart

Professor Biological and Health Systems Engineering,Deaprtment of Bio-Engineering, Gait Laboratory, Arizona State University  

Biography

Dr. Lockhart is a Professor of Biomedical Engineering and Biological Design in the School of Biological Health and Systems Engineering at Arizona State University.  He is also an Adjunct Professor at Barrow Neurological Institute and, a guest Professor at Ghent University in Belgium. Previously (2000-2014), Dr. Lockhart was a Professor at Virginia Tech, Industrial and Systems Engineering Department and, Virginia Tech/Wake Forest School of Biomedical Engineering and Science.  Dr. Lockhart is a Board Certified Professional Ergonomist (CPE #1138) and, the Director of the Locomotion Research Laboratory at ASU.

Professor Lockhart’s research and  publications  concern the identification of injury mechanisms and quantification of sensorimotor deficits and movement disorders associated with aging and neurological disorders on fall accidents. His academic grounding in biomechanical modeling, nonlinear dynamics, human postural control, gait mechanics, and wearable biosensor design underscore a fundamental capacity to provide unique clinical solutions to injury preventions utilizing both engineering and biomedical principles.  As a result of above initiatives, Dr. Lockhart has published over 100 manuscripts in refereed publications.  Professor Lockhart is currently an Associate Editor of the  Annals of Biomedical Engineering  (Springer)  and Editorial Board of the  Ergonomics  (Taylor & Francis),  Sensors , and  Board of Consulting Editors of the  Journal of Biomechanics  (Elsevier).

Research Interest

Fall risk prediction and assessments

Movement Disorders (e.g., Parkinson’s disease, Stroke, Ataxia)

Gait and Posture, Locomotion and Postural Control, and Nonlinear Dynamics

Wireless wearable sensors for continuous, non-invasive gait monitoring to accurately detect and study fall events and predict future falls in the elderly population

Interventions (nutrition/exercise) to reduce falls in older adults

Occupational fall prevention training

 

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